David Senitzer

3.4k citations
115 papers · 2.3k indexed · h-index 28

David Senitzer

110 papers receiving 2.2k citations

Peers

David Senitzer
Comparison fields: 5 of 96
  • Transplantation 232
  • Hematology 647
  • Immunology 1.1k
  • Nephrology 146
  • Rheumatology 293
Replace Marc Busson with:
Marc Busson France
K. I. Welsh United Kingdom
Henny G. Otten Netherlands
M Fotino United States
Martin Barnardo United Kingdom
Hans Grosse‐Wilde Germany
J Hors France
Sylvie Ferrari‐Lacraz Switzerland
J. D‘Amaro Netherlands
J. L. Bidwell United Kingdom
David Senitzer relative to Marc Busson France Marc Busson's profile →
Citations per field
00.5×1.5×
Marc Busson · 1×
Citations per year

Countries citing papers authored by David Senitzer

Since Specialization
Citations

This map shows the geographic impact of David Senitzer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Senitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Senitzer more than expected).

Fields of papers citing papers by David Senitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Senitzer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Senitzer. The network helps show where David Senitzer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David Senitzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Senitzer Line = papers co-authored together David Senitzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20196
2 20172
3 20177
4 20168
5 20164
6 20143
7 20135
8 20117
9 20103
10
Analysis of killer immunoglobulin-like receptor genes in ankylosing spondylitis
20093
11 200838
12 200673
13 200460
14
Immunogenicity of a p210(BCR-ABL) fusion domain candidate DNA vaccine targeted to dendritic cells by a recombinant adeno-associated virus vector in vitro.
200230
15 20006
16 19944
17 199015
18
Do shared HLA antigens between present and past donors adversely affect graft survival in recipients with a past positive donor crossmatch
19882
19 198822
20 19832

About David Senitzer

David Senitzer is a scholar working on Transplantation, Hematology, Immunology, Rheumatology and Genetics, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (30 papers), Hematopoietic Stem Cell Transplantation (30 papers), Renal Transplantation Outcomes and Treatments (16 papers), Acute Lymphoblastic Leukemia research (11 papers), Reproductive System and Pregnancy (10 papers), Immunotherapy and Immune Responses (9 papers) and IL-33, ST2, and ILC Pathways (8 papers). The work is most often cited by research in Transplantation (232 citations), Hematology (647 citations), Immunology (1.1k citations), Nephrology (146 citations) and Rheumatology (293 citations). David Senitzer has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Stephen J. Forman, Joycelynne Palmer, Robert T. Tidrick, Don J. Diamond, Jiyao Sun, Ryotaro Nakamura, Daniel Glicklich, Earl H. Freimer, Laima Gaidulis and Eileen M. Shore. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Human Immunology, Blood, Transplantation and Leukemia Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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